4. PhD Intern, London (https://t.co/UkD7pjEqo1)
And if you'd like to learn more about what it's like to work at FB Core Data Science, just drop me a line, I'd be very happy to chat!
Happy Monday!
My team, Core Data Science at Facebook EMEA is hiring:
1. Research Scientist (Stats/ML), London (https://t.co/fiJO3svXkG)
2. Research Scientist (EconCS), London
(https://t.co/ljUkuKwNPG)
3. Research Scientist (Stats/ML), Tel Aviv (https://t.co/742aEL5imr)
@myGovau Even after hearing all options, I cannot make a choice (my pressing the dialpad doesn't do anything). Tried from my partner's phone as well.
After hearing the whole recording twice, I was connected to an operator; just giving you a heads up that your system ain't working proper
@myGovau The call went through ok, it's just that once the menu is read out by the computerized voice, ("press 1 for mygov, 2 for ...") then pressing the keys doesn't do anything.
Good morning in sad, jealous tweets. All schools in Taiwan have been open since February. They did not listen to China or WHO in January and immediately masked up and shut down travel. They also traced the hell out of their outbreaks. They were practically done by February.
@petrmatous@ANSNA_Au .... unless, possibly, you use both projections (https://t.co/Z4SBVvsnYM, ht @RobAckland)! But I'm not sure how this pans out with blockmodels, and besides I'd like to avoid working with the patient-projection matrix, which has ~10^6 nodes
Google is now saying:
Let's keep the research/AI parts under one group
Let's put products that are ready to scale in another.
Why this matters: It's among the first tech companies figuring out a real strategy for health vs. groups doing random projects.
https://t.co/gCMw1KEUmN
So you have a #logisticregression baseline model, and are thinking of the next step up in complexity? Before you fit a #deeplearning model, try glinternet first! Here's a little tutorial: https://t.co/2I0Nb8uZM4
@jakevdp The easiest way to see this is that in any interval of length x/n, you'll have 0 points with probability (1-x/n)^n, which converges to exp(-x), the tail function of the exponential distribution...
For this #computationalphysics paper everything happened in @rstudio:
* algorithms running in #rstats
* versioning on GitHub https://t.co/AidAV9oepp
* typesetting using #rmarkdown and the rticles package (https://t.co/nu7ScYqCUP)
Which single algorithm solves
* subdiffusion
* tempered subdiffusion
* variable order subdiffusion
* distributed order subdiffusion
* inverse subordinators?
Answer: this one https://t.co/E1q9fKzz5E (extends @james_nichols DTRW)
#compchem Phys. Rev. Lett. 120, 248101 (2018) - Gradual Crossover from Subdiffusion to Normal Diffusion: A Many-Body Effect in Protein Surface Water https://t.co/T8yyeQW3DS
Handbook of Approximate Bayesian Computation released worldwide today! Filled with outstanding content from outstanding ABC researchers! Well done to everyone who contributed!